Samsung Galaxy S24 Ultra
Geekbench AI Score
2021
Single Precision Score
1994
Half Precision Score
2892
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | August 22 2025 08:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928B |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1673
311.1 IPS |
|
|
Image Classification (HP)
|
100% |
1791
333.1 IPS |
|
|
Image Classification (Q)
|
100% |
2899
539.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2278
36.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3605
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4247
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3322
3.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
6214
7.37 IPS |
|
|
Object Detection (SP)
|
98% |
1267
100.9 IPS |
|
|
Object Detection (HP)
|
98% |
1258
100.1 IPS |
|
|
Object Detection (Q)
|
83% |
1756
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
2703
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (Q)
|
95% |
4309
51.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2836
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2842
22.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4321
39.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6809
8.84 IPS |
|
|
Style Transfer (HP)
|
89% |
6753
8.77 IPS |
|
|
Style Transfer (Q)
|
98% |
12691
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1354
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1435
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3144
116.5 IPS |
|
|
Text Classification (SP)
|
100% |
532
710.3 IPS |
|
|
Text Classification (HP)
|
99% |
590
787.4 IPS |
|
|
Text Classification (Q)
|
88% |
852
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1444
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
568
20.2 IPS |
